Kaggle Credit Card Fraud Detection Dataset Profile Report

Dataset statistics

Number of variables	22
Number of observations	389003
Missing cells	0
Missing cells (%)	0.0%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	76.3 MiB
Average record size in memory	205.7 B

Variable types

DateTime	2
Numeric	9
Categorical	11

Alerts

`merchant` has a high cardinality: 693 distinct values	High cardinality
`first` has a high cardinality: 352 distinct values	High cardinality
`last` has a high cardinality: 481 distinct values	High cardinality
`street` has a high cardinality: 982 distinct values	High cardinality
`city` has a high cardinality: 894 distinct values	High cardinality
`job` has a high cardinality: 494 distinct values	High cardinality
`trans_num` has a high cardinality: 389003 distinct values	High cardinality
`cc_num` is highly overall correlated with `gender` and 1 other fields	High correlation
`zip` is highly overall correlated with `state` and 4 other fields	High correlation
`lat` is highly overall correlated with `state` and 4 other fields	High correlation
`long` is highly overall correlated with `state` and 4 other fields	High correlation
`merch_lat` is highly overall correlated with `state` and 4 other fields	High correlation
`merch_long` is highly overall correlated with `state` and 4 other fields	High correlation
`gender` is highly overall correlated with `cc_num` and 1 other fields	High correlation
`state` is highly overall correlated with `zip` and 5 other fields	High correlation
`city_pop` is highly overall correlated with `state`	High correlation
`is_fraud` is highly imbalanced (94.9%)	Imbalance
`amt` is highly skewed (γ1 = 55.16028174)	Skewed
`trans_num` is uniformly distributed	Uniform
`trans_num` has unique values	Unique

Reproduction

Analysis started	2023-05-17 00:06:20.706651
Analysis finished	2023-05-17 00:08:22.813799
Duration	2 minutes and 2.11 seconds
Software version	ydata-profiling vv4.1.2
Download configuration	config.json

trans_date_trans_time
Date

Distinct	386997
Distinct (%)	99.5%
Missing	0
Missing (%)	0.0%
Memory size	14.0 MiB

Minimum	2019-01-01 00:00:51
Maximum	2020-06-21 12:13:36

Histogram

Histogram with fixed size bins (bins=50)

cc_num
Real number (ℝ)

Distinct	982
Distinct (%)	0.3%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	4.185546 × 10¹⁷

Minimum	6.0416207 × 10¹⁰
Maximum	4.9923464 × 10¹⁸
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	14.0 MiB

Quantile statistics

Minimum	6.0416207 × 10¹⁰
5-th percentile	6.3048488 × 10¹¹
Q1	1.8004295 × 10¹⁴
median	3.5214173 × 10¹⁵
Q3	4.6422555 × 10¹⁵
95-th percentile	4.5025395 × 10¹⁸
Maximum	4.9923464 × 10¹⁸
Range	4.9923463 × 10¹⁸
Interquartile range (IQR)	4.4622125 × 10¹⁵

Descriptive statistics

Standard deviation	1.3111107 × 10¹⁸
Coefficient of variation (CV)	3.1324724
Kurtosis	6.1495469
Mean	4.185546 × 10¹⁷
Median Absolute Deviation (MAD)	3.0764709 × 10¹⁵
Skewness	2.8465774
Sum	8.0315113 × 10¹⁸
Variance	1.7190114 × 10³⁶
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
4.512828415 × 10¹⁸	1009	0.3%
3.764452668 × 10¹⁴	976	0.3%
6.304249875 × 10¹¹	968	0.2%
3.575789282 × 10¹⁵	958	0.2%
6.534628261 × 10¹⁵	956	0.2%
2.720433096 × 10¹⁵	946	0.2%
6.011438889 × 10¹⁵	945	0.2%
4.792627764 × 10¹⁸	945	0.2%
3.54510934 × 10¹⁵	944	0.2%
4.716561797 × 10¹⁵	942	0.2%
Other values (972)	379414	97.5%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
6.041620718 × 10¹⁰	436	0.1%
6.042292873 × 10¹⁰	439	0.1%
6.042309813 × 10¹⁰	162	< 0.1%
6.042785159 × 10¹⁰	155	< 0.1%
6.048700208 × 10¹⁰	151	< 0.1%
6.04905963 × 10¹⁰	294	0.1%
6.049559311 × 10¹⁰	152	< 0.1%
5.018029536 × 10¹¹	509	0.1%
5.018181333 × 10¹¹	2	< 0.1%
5.018282048 × 10¹¹	145	< 0.1%

Value	Count	Frequency (%)
4.992346398 × 10¹⁸	654	0.2%
4.989847571 × 10¹⁸	295	0.1%
4.980323468 × 10¹⁸	151	< 0.1%
4.973530368 × 10¹⁸	309	0.1%
4.958589672 × 10¹⁸	458	0.1%
4.95682899 × 10¹⁸	814	0.2%
4.911818931 × 10¹⁸	4	< 0.1%
4.906628656 × 10¹⁸	780	0.2%
4.897067971 × 10¹⁸	323	0.1%
4.890424427 × 10¹⁸	459	0.1%

merchant
Categorical

Distinct	693
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Memory size	14.0 MiB

fraud_Kilback LLC	1268
fraud_Cormier LLC	1093
fraud_Schumm PLC	1081
fraud_Dickinson Ltd	1061
fraud_Kuhn LLC	1034
Other values (688)	383466

Length

Max length	43
Median length	36
Mean length	23.133667
Min length	13

Characters and Unicode

Total characters	8999066
Distinct characters	55
Distinct categories	6 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	fraud_Hills-Witting
2nd row	fraud_Kling Inc
3rd row	fraud_DuBuque LLC
4th row	fraud_Grimes LLC
5th row	fraud_Ullrich Ltd

Common Values

Value	Count	Frequency (%)
fraud_Kilback LLC	1268	0.3%
fraud_Cormier LLC	1093	0.3%
fraud_Schumm PLC	1081	0.3%
fraud_Dickinson Ltd	1061	0.3%
fraud_Kuhn LLC	1034	0.3%
fraud_Boyer PLC	999	0.3%
fraud_Prohaska-Murray	838	0.2%
fraud_Olson, Becker and Koch	834	0.2%
fraud_Stroman, Hudson and Erdman	834	0.2%
fraud_Emard Inc	831	0.2%
Other values (683)	379130	97.5%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
and	142354	15.7%
llc	29295	3.2%
inc	27595	3.0%
sons	22046	2.4%
ltd	21298	2.3%
plc	19732	2.2%
group	15283	1.7%
fraud_kutch	3191	0.4%
fraud_schaefer	2855	0.3%
fraud_streich	2761	0.3%
Other values (804)	620812	68.4%

Most occurring characters

Value	Count	Frequency (%)
a	872715	9.7%
r	808746	9.0%
d	641831	7.1%
e	559186	6.2%
u	557157	6.2%
n	530288	5.9%
	518219	5.8%
f	419227	4.7%
_	389003	4.3%
o	339376	3.8%
Other values (45)	3363318	37.4%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	6810376	75.7%
Uppercase Letter	1019016	11.3%
Space Separator	518219	5.8%
Connector Punctuation	389003	4.3%
Dash Punctuation	133446	1.5%
Other Punctuation	129006	1.4%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
a	872715	12.8%
r	808746	11.9%
d	641831	9.4%
e	559186	8.2%
u	557157	8.2%
n	530288	7.8%
f	419227	6.2%
o	339376	5.0%
i	324292	4.8%
t	262990	3.9%
Other values (15)	1494568	21.9%

Uppercase Letter

Value	Count	Frequency (%)
L	142762	14.0%
C	93391	9.2%
S	90718	8.9%
B	83325	8.2%
H	78015	7.7%
K	65247	6.4%
G	57896	5.7%
R	54548	5.4%
M	53836	5.3%
P	47587	4.7%
Other values (15)	251691	24.7%

Other Punctuation

Value	Count	Frequency (%)
,	120308	93.3%
'	8698	6.7%

Space Separator

Value	Count	Frequency (%)
	518219	100.0%

Connector Punctuation

Value	Count	Frequency (%)
_	389003	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	133446	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	7829392	87.0%
Common	1169674	13.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
a	872715	11.1%
r	808746	10.3%
d	641831	8.2%
e	559186	7.1%
u	557157	7.1%
n	530288	6.8%
f	419227	5.4%
o	339376	4.3%
i	324292	4.1%
t	262990	3.4%
Other values (40)	2513584	32.1%

Common

Value	Count	Frequency (%)
	518219	44.3%
_	389003	33.3%
-	133446	11.4%
,	120308	10.3%
'	8698	0.7%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	8999066	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
a	872715	9.7%
r	808746	9.0%
d	641831	7.1%
e	559186	6.2%
u	557157	6.2%
n	530288	5.9%
	518219	5.8%
f	419227	4.7%
_	389003	4.3%
o	339376	3.8%
Other values (45)	3363318	37.4%

category
Categorical

Distinct	14
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	14.0 MiB

gas_transport	39239
grocery_pos	37261
home	37029
shopping_pos	34789
kids_pets	33961
Other values (9)	206724

Length

Max length	14
Median length	12
Mean length	10.523646
Min length	4

Characters and Unicode

Total characters	4093730
Distinct characters	20
Distinct categories	2 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	shopping_net
2nd row	gas_transport
3rd row	grocery_pos
4th row	entertainment
5th row	kids_pets

Common Values

Value	Count	Frequency (%)
gas_transport	39239	10.1%
grocery_pos	37261	9.6%
home	37029	9.5%
shopping_pos	34789	8.9%
kids_pets	33961	8.7%
shopping_net	29244	7.5%
entertainment	28341	7.3%
food_dining	27464	7.1%
personal_care	27394	7.0%
health_fitness	25748	6.6%
Other values (4)	68533	17.6%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
gas_transport	39239	10.1%
grocery_pos	37261	9.6%
home	37029	9.5%
shopping_pos	34789	8.9%
kids_pets	33961	8.7%
shopping_net	29244	7.5%
entertainment	28341	7.3%
food_dining	27464	7.1%
personal_care	27394	7.0%
health_fitness	25748	6.6%
Other values (4)	68533	17.6%

Most occurring characters

Value	Count	Frequency (%)
s	427903	10.5%
e	387087	9.5%
o	369314	9.0%
n	358077	8.7%
p	324524	7.9%
t	322921	7.9%
_	311382	7.6%
r	275512	6.7%
i	249727	6.1%
a	199606	4.9%
Other values (10)	867677	21.2%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	3782348	92.4%
Connector Punctuation	311382	7.6%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
s	427903	11.3%
e	387087	10.2%
o	369314	9.8%
n	358077	9.5%
p	324524	8.6%
t	322921	8.5%
r	275512	7.3%
i	249727	6.6%
a	199606	5.3%
g	181563	4.8%
Other values (9)	686114	18.1%

Connector Punctuation

Value	Count	Frequency (%)
_	311382	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	3782348	92.4%
Common	311382	7.6%

Most frequent character per script

Latin

Value	Count	Frequency (%)
s	427903	11.3%
e	387087	10.2%
o	369314	9.8%
n	358077	9.5%
p	324524	8.6%
t	322921	8.5%
r	275512	7.3%
i	249727	6.6%
a	199606	5.3%
g	181563	4.8%
Other values (9)	686114	18.1%

Common

Value	Count	Frequency (%)
_	311382	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	4093730	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
s	427903	10.5%
e	387087	9.5%
o	369314	9.0%
n	358077	8.7%
p	324524	7.9%
t	322921	7.9%
_	311382	7.6%
r	275512	6.7%
i	249727	6.1%
a	199606	4.9%
Other values (10)	867677	21.2%

amt
Real number (ℝ)

Distinct	33399
Distinct (%)	8.6%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	70.249035

Minimum	1
Maximum	28948.9
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	14.0 MiB

Quantile statistics

Minimum	1
5-th percentile	2.45
Q1	9.64
median	47.5
Q3	83.06
95-th percentile	195.689
Maximum	28948.9
Range	28947.9
Interquartile range (IQR)	73.42

Descriptive statistics

Standard deviation	169.32887
Coefficient of variation (CV)	2.4104086
Kurtosis	6777.7869
Mean	70.249035
Median Absolute Deviation (MAD)	37.5
Skewness	55.160282
Sum	27327085
Variance	28672.268
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1.1	180	< 0.1%
1.14	179	< 0.1%
1.31	167	< 0.1%
1.12	163	< 0.1%
1.03	161	< 0.1%
1.08	161	< 0.1%
1.25	158	< 0.1%
1.4	158	< 0.1%
1.17	157	< 0.1%
1.16	156	< 0.1%
Other values (33389)	387363	99.6%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	59	< 0.1%
1.01	154	< 0.1%
1.02	142	< 0.1%
1.03	161	< 0.1%
1.04	140	< 0.1%
1.05	155	< 0.1%
1.06	134	< 0.1%
1.07	145	< 0.1%
1.08	161	< 0.1%
1.09	138	< 0.1%

Value	Count	Frequency (%)
28948.9	1	< 0.1%
27119.77	1	< 0.1%
26544.12	1	< 0.1%
17897.24	1	< 0.1%
15305.95	1	< 0.1%
14849.74	1	< 0.1%
14238.11	1	< 0.1%
12176.55	1	< 0.1%
12025.3	1	< 0.1%
11872.21	1	< 0.1%

first
Categorical

Distinct	352
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	14.0 MiB

Christopher	7987
Robert	6604
James	6151
Jessica	6108
Michael	6013
Other values (347)	356140

Length

Max length	11
Median length	9
Mean length	6.0823515
Min length	3

Characters and Unicode

Total characters	2366053
Distinct characters	49
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	2 ?
Unique (%)	< 0.1%

Sample

1st row	Amber
2nd row	Robert
3rd row	Kathryn
4th row	Phillip
5th row	Vanessa

Common Values

Value	Count	Frequency (%)
Christopher	7987	2.1%
Robert	6604	1.7%
James	6151	1.6%
Jessica	6108	1.6%
Michael	6013	1.5%
David	5965	1.5%
Jennifer	5168	1.3%
William	4986	1.3%
John	4965	1.3%
Mary	4825	1.2%
Other values (342)	330231	84.9%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
christopher	7987	2.1%
robert	6604	1.7%
james	6151	1.6%
jessica	6108	1.6%
michael	6013	1.5%
david	5965	1.5%
jennifer	5168	1.3%
william	4986	1.3%
john	4965	1.3%
mary	4825	1.2%
Other values (342)	330231	84.9%

Most occurring characters

Value	Count	Frequency (%)
a	301673	12.8%
e	258513	10.9%
i	185377	7.8%
n	183962	7.8%
r	182008	7.7%
l	116715	4.9%
h	103744	4.4%
s	97785	4.1%
t	93652	4.0%
o	80985	3.4%
Other values (39)	761639	32.2%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	1977050	83.6%
Uppercase Letter	389003	16.4%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
a	301673	15.3%
e	258513	13.1%
i	185377	9.4%
n	183962	9.3%
r	182008	9.2%
l	116715	5.9%
h	103744	5.2%
s	97785	4.9%
t	93652	4.7%
o	80985	4.1%
Other values (16)	372636	18.8%

Uppercase Letter

Value	Count	Frequency (%)
J	65790	16.9%
M	43564	11.2%
S	34243	8.8%
A	33507	8.6%
C	31999	8.2%
K	25703	6.6%
D	25634	6.6%
R	21292	5.5%
T	19823	5.1%
L	18831	4.8%
Other values (13)	68617	17.6%

Most occurring scripts

Value	Count	Frequency (%)
Latin	2366053	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
a	301673	12.8%
e	258513	10.9%
i	185377	7.8%
n	183962	7.8%
r	182008	7.7%
l	116715	4.9%
h	103744	4.4%
s	97785	4.1%
t	93652	4.0%
o	80985	3.4%
Other values (39)	761639	32.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	2366053	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
a	301673	12.8%
e	258513	10.9%
i	185377	7.8%
n	183962	7.8%
r	182008	7.7%
l	116715	4.9%
h	103744	4.4%
s	97785	4.1%
t	93652	4.0%
o	80985	3.4%
Other values (39)	761639	32.2%

last
Categorical

Distinct	481
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	14.0 MiB

Smith	8711
Williams	6981
Davis	6497
Johnson	5844
Rodriguez	5208
Other values (476)	355762

Length

Max length	11
Median length	10
Mean length	6.107228
Min length	2

Characters and Unicode

Total characters	2375730
Distinct characters	48
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	2 ?
Unique (%)	< 0.1%

Sample

1st row	Lewis
2nd row	James
3rd row	Smith
4th row	Robertson
5th row	Anderson

Common Values

Value	Count	Frequency (%)
Smith	8711	2.2%
Williams	6981	1.8%
Davis	6497	1.7%
Johnson	5844	1.5%
Rodriguez	5208	1.3%
Martinez	4505	1.2%
Jones	4151	1.1%
Lewis	3749	1.0%
Gonzalez	3549	0.9%
Miller	3513	0.9%
Other values (471)	336295	86.5%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
smith	8711	2.2%
williams	6981	1.8%
davis	6497	1.7%
johnson	5844	1.5%
rodriguez	5208	1.3%
martinez	4505	1.2%
jones	4151	1.1%
lewis	3749	1.0%
gonzalez	3549	0.9%
miller	3513	0.9%
Other values (471)	336295	86.5%

Most occurring characters

Value	Count	Frequency (%)
e	236267	9.9%
r	197779	8.3%
a	194214	8.2%
n	182474	7.7%
o	174868	7.4%
l	146587	6.2%
s	145591	6.1%
i	130221	5.5%
t	86481	3.6%
h	68251	2.9%
Other values (38)	812997	34.2%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	1986727	83.6%
Uppercase Letter	389003	16.4%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	236267	11.9%
r	197779	10.0%
a	194214	9.8%
n	182474	9.2%
o	174868	8.8%
l	146587	7.4%
s	145591	7.3%
i	130221	6.6%
t	86481	4.4%
h	68251	3.4%
Other values (15)	423994	21.3%

Uppercase Letter

Value	Count	Frequency (%)
M	47471	12.2%
W	32079	8.2%
S	31511	8.1%
C	27961	7.2%
B	25297	6.5%
R	25089	6.4%
H	24370	6.3%
G	22694	5.8%
J	21160	5.4%
P	19706	5.1%
Other values (13)	111665	28.7%

Most occurring scripts

Value	Count	Frequency (%)
Latin	2375730	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	236267	9.9%
r	197779	8.3%
a	194214	8.2%
n	182474	7.7%
o	174868	7.4%
l	146587	6.2%
s	145591	6.1%
i	130221	5.5%
t	86481	3.6%
h	68251	2.9%
Other values (38)	812997	34.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	2375730	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
e	236267	9.9%
r	197779	8.3%
a	194214	8.2%
n	182474	7.7%
o	174868	7.4%
l	146587	6.2%
s	145591	6.1%
i	130221	5.5%
t	86481	3.6%
h	68251	2.9%
Other values (38)	812997	34.2%

gender
Categorical

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	14.0 MiB

F	212679
M	176324

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	389003
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	F
2nd row	M
3rd row	F
4th row	M
5th row	F

Common Values

Value	Count	Frequency (%)
F	212679	54.7%
M	176324	45.3%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
f	212679	54.7%
m	176324	45.3%

Most occurring characters

Value	Count	Frequency (%)
F	212679	54.7%
M	176324	45.3%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	389003	100.0%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
F	212679	54.7%
M	176324	45.3%

Most occurring scripts

Value	Count	Frequency (%)
Latin	389003	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
F	212679	54.7%
M	176324	45.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	389003	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
F	212679	54.7%
M	176324	45.3%

street
Categorical

Distinct	982
Distinct (%)	0.3%
Missing	0
Missing (%)	0.0%
Memory size	14.0 MiB

864 Reynolds Plains	1009
372 Jeffrey Course	976
2870 Bean Terrace Apt. 756	968
7618 Gonzales Mission	958
29606 Martinez Views Suite 653	956
Other values (977)	384136

Length

Max length	35
Median length	29
Mean length	22.225983
Min length	12

Characters and Unicode

Total characters	8645974
Distinct characters	62
Distinct categories	5 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	11 ?
Unique (%)	< 0.1%

Sample

1st row	6296 John Keys Suite 858
2nd row	18316 Cannon Place
3rd row	19838 Tonya Prairie Apt. 947
4th row	85344 Smith Gateway Apt. 280
5th row	21178 Brittney Locks

Common Values

Value	Count	Frequency (%)
864 Reynolds Plains	1009	0.3%
372 Jeffrey Course	976	0.3%
2870 Bean Terrace Apt. 756	968	0.2%
7618 Gonzales Mission	958	0.2%
29606 Martinez Views Suite 653	956	0.2%
854 Walker Dale Suite 488	946	0.2%
40624 Rebecca Spurs	945	0.2%
7952 Karen Pike	945	0.2%
8030 Beck Motorway	944	0.2%
11014 Chad Lake Apt. 573	942	0.2%
Other values (972)	379414	97.5%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
apt	98165	6.3%
suite	91491	5.9%
island	6981	0.5%
michael	5625	0.4%
station	5376	0.3%
common	5349	0.3%
islands	5319	0.3%
david	5215	0.3%
brooks	5105	0.3%
fields	4966	0.3%
Other values (1938)	1312729	84.9%

Most occurring characters

Value	Count	Frequency (%)
	1157318	13.4%
e	537671	6.2%
a	436559	5.0%
i	389799	4.5%
t	374730	4.3%
r	331150	3.8%
n	320223	3.7%
s	310614	3.6%
l	266766	3.1%
o	262407	3.0%
Other values (52)	4258737	49.3%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	4325186	50.0%
Decimal Number	2097643	24.3%
Space Separator	1157318	13.4%
Uppercase Letter	967662	11.2%
Other Punctuation	98165	1.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	537671	12.4%
a	436559	10.1%
i	389799	9.0%
t	374730	8.7%
r	331150	7.7%
n	320223	7.4%
s	310614	7.2%
l	266766	6.2%
o	262407	6.1%
u	184498	4.3%
Other values (16)	910769	21.1%

Uppercase Letter

Value	Count	Frequency (%)
S	168431	17.4%
A	126251	13.0%
M	77421	8.0%
C	67442	7.0%
P	59081	6.1%
R	55929	5.8%
B	44661	4.6%
F	42866	4.4%
L	39577	4.1%
J	36221	3.7%
Other values (14)	249782	25.8%

Decimal Number

Value	Count	Frequency (%)
5	224471	10.7%
3	221250	10.5%
2	220401	10.5%
7	211589	10.1%
1	208271	9.9%
8	207692	9.9%
6	203782	9.7%
0	202913	9.7%
4	200145	9.5%
9	197129	9.4%

Space Separator

Value	Count	Frequency (%)
	1157318	100.0%

Other Punctuation

Value	Count	Frequency (%)
.	98165	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	5292848	61.2%
Common	3353126	38.8%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	537671	10.2%
a	436559	8.2%
i	389799	7.4%
t	374730	7.1%
r	331150	6.3%
n	320223	6.1%
s	310614	5.9%
l	266766	5.0%
o	262407	5.0%
u	184498	3.5%
Other values (40)	1878431	35.5%

Common

Value	Count	Frequency (%)
	1157318	34.5%
5	224471	6.7%
3	221250	6.6%
2	220401	6.6%
7	211589	6.3%
1	208271	6.2%
8	207692	6.2%
6	203782	6.1%
0	202913	6.1%
4	200145	6.0%
Other values (2)	295294	8.8%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	8645974	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	1157318	13.4%
e	537671	6.2%
a	436559	5.0%
i	389799	4.5%
t	374730	4.3%
r	331150	3.8%
n	320223	3.7%
s	310614	3.6%
l	266766	3.1%
o	262407	3.0%
Other values (52)	4258737	49.3%

city
Categorical

Distinct	894
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Memory size	14.0 MiB

Birmingham	1649
Phoenix	1539
Meridian	1519
Utica	1502
San Antonio	1464
Other values (889)	381330

Length

Max length	25
Median length	21
Mean length	8.6494706
Min length	3

Characters and Unicode

Total characters	3364670
Distinct characters	52
Distinct categories	4 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	10 ?
Unique (%)	< 0.1%

Sample

1st row	Pembroke Township
2nd row	Newport
3rd row	Rocky Mount
4th row	Harrodsburg
5th row	Prosperity

Common Values

Value	Count	Frequency (%)
Birmingham	1649	0.4%
Phoenix	1539	0.4%
Meridian	1519	0.4%
Utica	1502	0.4%
San Antonio	1464	0.4%
Warren	1419	0.4%
Thomas	1393	0.4%
Conway	1355	0.3%
Cleveland	1338	0.3%
Burbank	1293	0.3%
Other values (884)	374532	96.3%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
city	6387	1.3%
west	5921	1.2%
north	4349	0.9%
saint	4344	0.9%
falls	3886	0.8%
new	3627	0.7%
lake	3392	0.7%
mount	3375	0.7%
san	2989	0.6%
springs	2604	0.5%
Other values (918)	444563	91.6%

Most occurring characters

Value	Count	Frequency (%)
e	327388	9.7%
a	280684	8.3%
n	246472	7.3%
o	245079	7.3%
l	233863	7.0%
r	224644	6.7%
i	210699	6.3%
t	180033	5.4%
s	134255	4.0%
	96434	2.9%
Other values (42)	1185119	35.2%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	2782211	82.7%
Uppercase Letter	485731	14.4%
Space Separator	96434	2.9%
Dash Punctuation	294	< 0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	327388	11.8%
a	280684	10.1%
n	246472	8.9%
o	245079	8.8%
l	233863	8.4%
r	224644	8.1%
i	210699	7.6%
t	180033	6.5%
s	134255	4.8%
d	92355	3.3%
Other values (15)	606739	21.8%

Uppercase Letter

Value	Count	Frequency (%)
C	47053	9.7%
M	43980	9.1%
S	40999	8.4%
B	39792	8.2%
H	34909	7.2%
W	28700	5.9%
P	27613	5.7%
L	25983	5.3%
R	23599	4.9%
A	22440	4.6%
Other values (15)	150663	31.0%

Space Separator

Value	Count	Frequency (%)
	96434	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	294	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	3267942	97.1%
Common	96728	2.9%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	327388	10.0%
a	280684	8.6%
n	246472	7.5%
o	245079	7.5%
l	233863	7.2%
r	224644	6.9%
i	210699	6.4%
t	180033	5.5%
s	134255	4.1%
d	92355	2.8%
Other values (40)	1092470	33.4%

Common

Value	Count	Frequency (%)
	96434	99.7%
-	294	0.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	3364670	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
e	327388	9.7%
a	280684	8.3%
n	246472	7.3%
o	245079	7.3%
l	233863	7.0%
r	224644	6.7%
i	210699	6.3%
t	180033	5.4%
s	134255	4.0%
	96434	2.9%
Other values (42)	1185119	35.2%

state
Categorical

Distinct	50
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	14.0 MiB

TX	28360
NY	25049
PA	23990
CA	16970
OH	13915
Other values (45)	280719

Length

Max length	2
Median length	2
Mean length	2
Min length	2

Characters and Unicode

Total characters	778006
Distinct characters	24
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	IL
2nd row	ME
3rd row	MO
4th row	IN
5th row	SC

Common Values

Value	Count	Frequency (%)
TX	28360	7.3%
NY	25049	6.4%
PA	23990	6.2%
CA	16970	4.4%
OH	13915	3.6%
MI	13860	3.6%
IL	12972	3.3%
FL	12878	3.3%
AL	12223	3.1%
MO	11346	2.9%
Other values (40)	217440	55.9%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
tx	28360	7.3%
ny	25049	6.4%
pa	23990	6.2%
ca	16970	4.4%
oh	13915	3.6%
mi	13860	3.6%
il	12972	3.3%
fl	12878	3.3%
al	12223	3.1%
mo	11346	2.9%
Other values (40)	217440	55.9%

Most occurring characters

Value	Count	Frequency (%)
A	106791	13.7%
N	85557	11.0%
M	66284	8.5%
I	54610	7.0%
T	46005	5.9%
L	44397	5.7%
O	42889	5.5%
C	42359	5.4%
Y	39311	5.1%
X	28360	3.6%
Other values (14)	221443	28.5%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	778006	100.0%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
A	106791	13.7%
N	85557	11.0%
M	66284	8.5%
I	54610	7.0%
T	46005	5.9%
L	44397	5.7%
O	42889	5.5%
C	42359	5.4%
Y	39311	5.1%
X	28360	3.6%
Other values (14)	221443	28.5%

Most occurring scripts

Value	Count	Frequency (%)
Latin	778006	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
A	106791	13.7%
N	85557	11.0%
M	66284	8.5%
I	54610	7.0%
T	46005	5.9%
L	44397	5.7%
O	42889	5.5%
C	42359	5.4%
Y	39311	5.1%
X	28360	3.6%
Other values (14)	221443	28.5%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	778006	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
A	106791	13.7%
N	85557	11.0%
M	66284	8.5%
I	54610	7.0%
T	46005	5.9%
L	44397	5.7%
O	42889	5.5%
C	42359	5.4%
Y	39311	5.1%
X	28360	3.6%
Other values (14)	221443	28.5%

zip
Real number (ℝ)

Distinct	969
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	48763.684

Minimum	1257
Maximum	99783
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	14.0 MiB

Quantile statistics

Minimum	1257
5-th percentile	7208
Q1	26237
median	48174
Q3	72011
95-th percentile	94569
Maximum	99783
Range	98526
Interquartile range (IQR)	45774

Descriptive statistics

Standard deviation	26892.358
Coefficient of variation (CV)	0.55148331
Kurtosis	-1.0945937
Mean	48763.684
Median Absolute Deviation (MAD)	23058
Skewness	0.079981952
Sum	1.8969219 × 10¹⁰
Variance	7.231989 × 10⁸
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
48088	1116	0.3%
73754	1111	0.3%
34112	1069	0.3%
82514	1027	0.3%
15484	1009	0.3%
69165	976	0.3%
26292	968	0.2%
64019	958	0.2%
5461	956	0.2%
4287	946	0.2%
Other values (959)	378867	97.4%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1257	587	0.2%
1330	305	0.1%
1535	161	< 0.1%
1545	295	0.1%
1612	179	< 0.1%
1843	771	0.2%
1844	644	0.2%
2180	168	< 0.1%
2630	669	0.2%
2908	159	< 0.1%

Value	Count	Frequency (%)
99783	469	0.1%
99747	7	< 0.1%
99746	171	< 0.1%
99323	785	0.2%
99160	920	0.2%
99116	3	< 0.1%
99113	331	0.1%
99033	731	0.2%
98836	162	< 0.1%
98665	150	< 0.1%

lat
Real number (ℝ)

Distinct	967
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	38.54639

Minimum	20.0271
Maximum	66.6933
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	14.0 MiB

Quantile statistics

Minimum	20.0271
5-th percentile	29.8826
Q1	34.6205
median	39.3716
Q3	41.9404
95-th percentile	45.8433
Maximum	66.6933
Range	46.6662
Interquartile range (IQR)	7.3199

Descriptive statistics

Standard deviation	5.0849144
Coefficient of variation (CV)	0.13191675
Kurtosis	0.82936072
Mean	38.54639
Median Absolute Deviation (MAD)	3.3564
Skewness	-0.18657805
Sum	14994661
Variance	25.856355
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
42.5164	1116	0.3%
36.385	1111	0.3%
26.1184	1069	0.3%
43.0048	1027	0.3%
39.8936	1009	0.3%
41.1558	976	0.3%
39.1505	968	0.2%
38.7897	958	0.2%
44.3346	956	0.2%
44.0575	946	0.2%
Other values (957)	378867	97.4%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
20.0271	476	0.1%
20.0827	309	0.1%
24.6557	780	0.2%
26.1184	1069	0.3%
26.3304	177	< 0.1%
26.3771	159	< 0.1%
26.4215	907	0.2%
26.4722	760	0.2%
26.529	457	0.1%
26.6939	313	0.1%

Value	Count	Frequency (%)
66.6933	7	< 0.1%
65.6899	171	< 0.1%
64.7556	469	0.1%
48.8878	920	0.2%
48.8856	621	0.2%
48.8328	479	0.1%
48.6669	339	0.1%
48.6031	897	0.2%
48.4786	586	0.2%
48.34	907	0.2%

long
Real number (ℝ)

Distinct	968
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	-90.216346

Minimum	-165.6723
Maximum	-67.9503
Zeros	0
Zeros (%)	0.0%
Negative	389003
Negative (%)	100.0%
Memory size	14.0 MiB

Quantile statistics

Minimum	-165.6723
5-th percentile	-119.0825
Q1	-96.798
median	-87.4769
Q3	-80.158
95-th percentile	-73.5112
Maximum	-67.9503
Range	97.722
Interquartile range (IQR)	16.64

Descriptive statistics

Standard deviation	13.767459
Coefficient of variation (CV)	-0.15260493
Kurtosis	1.8805399
Mean	-90.216346
Median Absolute Deviation (MAD)	8.1527
Skewness	-1.1544279
Sum	-35094429
Variance	189.54292
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
-82.9832	1116	0.3%
-98.0727	1111	0.3%
-81.7361	1069	0.3%
-108.8964	1027	0.3%
-79.7856	1009	0.3%
-101.136	976	0.3%
-79.503	968	0.2%
-93.8702	958	0.2%
-73.098	956	0.2%
-69.9656	946	0.2%
Other values (958)	378867	97.4%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
-165.6723	469	0.1%
-156.292	171	< 0.1%
-155.488	309	0.1%
-155.3697	476	0.1%
-153.994	7	< 0.1%
-124.4409	314	0.1%
-124.2174	487	0.1%
-124.1587	329	0.1%
-124.1437	456	0.1%
-123.9743	626	0.2%

Value	Count	Frequency (%)
-67.9503	608	0.2%
-68.5565	293	0.1%
-69.2675	155	< 0.1%
-69.4828	647	0.2%
-69.9576	167	< 0.1%
-69.9656	946	0.2%
-70.1031	3	< 0.1%
-70.239	333	0.1%
-70.3001	669	0.2%
-70.3457	435	0.1%

city_pop
Real number (ℝ)

Distinct	878
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	88362.409

Minimum	23
Maximum	2906700
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	14.0 MiB

Quantile statistics

Minimum	23
5-th percentile	139
Q1	743
median	2456
Q3	20328
95-th percentile	518429
Maximum	2906700
Range	2906677
Interquartile range (IQR)	19585

Descriptive statistics

Standard deviation	300908.65
Coefficient of variation (CV)	3.4053921
Kurtosis	38.040459
Mean	88362.409
Median Absolute Deviation (MAD)	2198
Skewness	5.6235064
Sum	3.4373242 × 10¹⁰
Variance	9.0546015 × 10¹⁰
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
606	1598	0.4%
1312922	1539	0.4%
1595797	1464	0.4%
1766	1389	0.4%
241	1337	0.3%
302	1249	0.3%
2906700	1248	0.3%
276002	1246	0.3%
198	1208	0.3%
910148	1205	0.3%
Other values (868)	375520	96.5%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
23	680	0.2%
37	287	0.1%
43	599	0.2%
46	868	0.2%
47	150	< 0.1%
49	321	0.1%
51	318	0.1%
52	169	< 0.1%
53	778	0.2%
60	298	0.1%

Value	Count	Frequency (%)
2906700	1248	0.3%
2504700	616	0.2%
2383912	149	< 0.1%
1595797	1464	0.4%
1577385	800	0.2%
1526206	1019	0.3%
1417793	2	< 0.1%
1382480	616	0.2%
1312922	1539	0.4%
1263321	1111	0.3%

job
Categorical

Distinct	494
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	14.0 MiB

Film/video editor	2939
Exhibition designer	2691
Naval architect	2619
Surveyor, land/geomatics	2595
Designer, ceramics/pottery	2531
Other values (489)	375628

Length

Max length	59
Median length	38
Mean length	20.221502
Min length	3

Characters and Unicode

Total characters	7866225
Distinct characters	53
Distinct categories	6 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1 ?
Unique (%)	< 0.1%

Sample

1st row	Psychotherapist, child
2nd row	Lexicographer
3rd row	Tax inspector
4th row	Social researcher
5th row	Archaeologist

Common Values

Value	Count	Frequency (%)
Film/video editor	2939	0.8%
Exhibition designer	2691	0.7%
Naval architect	2619	0.7%
Surveyor, land/geomatics	2595	0.7%
Designer, ceramics/pottery	2531	0.7%
Materials engineer	2529	0.7%
Systems developer	2325	0.6%
IT trainer	2320	0.6%
Environmental consultant	2241	0.6%
Financial adviser	2229	0.6%
Other values (484)	363984	93.6%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
engineer	39829	4.6%
officer	33394	3.9%
manager	18282	2.1%
scientist	16644	1.9%
designer	15634	1.8%
surveyor	14722	1.7%
teacher	11391	1.3%
psychologist	9874	1.1%
research	8893	1.0%
editor	8681	1.0%
Other values (456)	685976	79.5%

Most occurring characters

Value	Count	Frequency (%)
e	841424	10.7%
i	715448	9.1%
r	660585	8.4%
a	543559	6.9%
t	533350	6.8%
n	529137	6.7%
	474317	6.0%
o	447733	5.7%
s	432444	5.5%
c	396711	5.0%
Other values (43)	2291517	29.1%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	6833249	86.9%
Space Separator	474317	6.0%
Uppercase Letter	410738	5.2%
Other Punctuation	133629	1.7%
Close Punctuation	7146	0.1%
Open Punctuation	7146	0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	841424	12.3%
i	715448	10.5%
r	660585	9.7%
a	543559	8.0%
t	533350	7.8%
n	529137	7.7%
o	447733	6.6%
s	432444	6.3%
c	396711	5.8%
l	299601	4.4%
Other values (16)	1433257	21.0%

Uppercase Letter

Value	Count	Frequency (%)
C	46982	11.4%
E	43615	10.6%
P	42886	10.4%
S	41177	10.0%
T	34071	8.3%
M	26957	6.6%
A	26283	6.4%
F	20533	5.0%
D	17527	4.3%
R	16803	4.1%
Other values (11)	93904	22.9%

Other Punctuation

Value	Count	Frequency (%)
,	93894	70.3%
/	37331	27.9%
'	2404	1.8%

Space Separator

Value	Count	Frequency (%)
	474317	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	7146	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	7146	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	7243987	92.1%
Common	622238	7.9%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	841424	11.6%
i	715448	9.9%
r	660585	9.1%
a	543559	7.5%
t	533350	7.4%
n	529137	7.3%
o	447733	6.2%
s	432444	6.0%
c	396711	5.5%
l	299601	4.1%
Other values (37)	1843995	25.5%

Common

Value	Count	Frequency (%)
	474317	76.2%
,	93894	15.1%
/	37331	6.0%
)	7146	1.1%
(	7146	1.1%
'	2404	0.4%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	7866225	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
e	841424	10.7%
i	715448	9.1%
r	660585	8.4%
a	543559	6.9%
t	533350	6.8%
n	529137	6.7%
	474317	6.0%
o	447733	5.7%
s	432444	5.5%
c	396711	5.0%
Other values (43)	2291517	29.1%

dob
Date

Distinct	967
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Memory size	14.0 MiB

Minimum	1924-10-30 00:00:00
Maximum	2005-01-29 00:00:00

Histogram

Histogram with fixed size bins (bins=50)

trans_num
Categorical

HIGH CARDINALITY UNIFORM UNIQUE

Distinct	389003
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Memory size	14.0 MiB

d0e8265dc7e7b979c1533abebe95402c	1
dacdb6a22d977b027a8fb074a0447076	1
0d906bb5ceb81dcd3296e81b389341d5	1
ba345b8475217cf2e0230e1fbfa9e4ce	1
c12970404cdc90e85349479ec5fa3909	1
Other values (388998)	388998

Length

Max length	32
Median length	32
Mean length	32
Min length	32

Characters and Unicode

Total characters	12448096
Distinct characters	16
Distinct categories	2 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	389003 ?
Unique (%)	100.0%

Sample

1st row	d0e8265dc7e7b979c1533abebe95402c
2nd row	71a947bf4d90e76e4d5b9a5f1b1ec8b4
3rd row	dfda32052a68f1452b1190b182672cb0
4th row	8858dbc699716a100343e8402c3d2d17
5th row	b73f49b5c7081b864f1ba77678d86fce

Common Values

Value	Count	Frequency (%)
d0e8265dc7e7b979c1533abebe95402c	1	< 0.1%
dacdb6a22d977b027a8fb074a0447076	1	< 0.1%
0d906bb5ceb81dcd3296e81b389341d5	1	< 0.1%
ba345b8475217cf2e0230e1fbfa9e4ce	1	< 0.1%
c12970404cdc90e85349479ec5fa3909	1	< 0.1%
0f8fef195889cbce74e53a0cf362e3a3	1	< 0.1%
6124557b02755ab42d8cd6aec1ab18b6	1	< 0.1%
39ba98c66e9ca69b98eef0b0fbc95abb	1	< 0.1%
8c50ebb14119b5d29d4db8ed3e300b28	1	< 0.1%
5eb79aa6a1ac2ca00d5f6c6f9241e5b6	1	< 0.1%
Other values (388993)	388993	> 99.9%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
d0e8265dc7e7b979c1533abebe95402c	1	< 0.1%
e77d938381d3c533c24e2159a6af263a	1	< 0.1%
f0dccb373dbb52f87993b587cdac5338	1	< 0.1%
4f7096fc7703ec9af052a743a2f6e2f4	1	< 0.1%
570a1cba31bb2b0f2421740a8b599f6b	1	< 0.1%
09e9b830ca58e5c71a23748a3d05f869	1	< 0.1%
12cfa522315fd07b4fcf44dd752203f4	1	< 0.1%
871b92a678ed78cef4ec01e64a60bcd8	1	< 0.1%
5aa5735c69932b6c476b9c8910490e2c	1	< 0.1%
75e691168933aafe9e0157ded10c971d	1	< 0.1%
Other values (388993)	388993	> 99.9%

Most occurring characters

Value	Count	Frequency (%)
9	779268	6.3%
7	778763	6.3%
c	778747	6.3%
3	778533	6.3%
4	778318	6.3%
d	778169	6.3%
1	778128	6.3%
5	778046	6.3%
8	778030	6.3%
a	778030	6.3%
Other values (6)	4664064	37.5%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	7781134	62.5%
Lowercase Letter	4666962	37.5%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
9	779268	10.0%
7	778763	10.0%
3	778533	10.0%
4	778318	10.0%
1	778128	10.0%
5	778046	10.0%
8	778030	10.0%
6	777811	10.0%
0	777165	10.0%
2	777072	10.0%

Lowercase Letter

Value	Count	Frequency (%)
c	778747	16.7%
d	778169	16.7%
a	778030	16.7%
e	778017	16.7%
f	777705	16.7%
b	776294	16.6%

Most occurring scripts

Value	Count	Frequency (%)
Common	7781134	62.5%
Latin	4666962	37.5%

Most frequent character per script

Common

Value	Count	Frequency (%)
9	779268	10.0%
7	778763	10.0%
3	778533	10.0%
4	778318	10.0%
1	778128	10.0%
5	778046	10.0%
8	778030	10.0%
6	777811	10.0%
0	777165	10.0%
2	777072	10.0%

Latin

Value	Count	Frequency (%)
c	778747	16.7%
d	778169	16.7%
a	778030	16.7%
e	778017	16.7%
f	777705	16.7%
b	776294	16.6%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	12448096	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
9	779268	6.3%
7	778763	6.3%
c	778747	6.3%
3	778533	6.3%
4	778318	6.3%
d	778169	6.3%
1	778128	6.3%
5	778046	6.3%
8	778030	6.3%
a	778030	6.3%
Other values (6)	4664064	37.5%

unix_time
Real number (ℝ)

Distinct	387001
Distinct (%)	99.5%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	1.3492679 × 10⁹

Minimum	1.3253761 × 10⁹
Maximum	1.3718168 × 10⁹
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	14.0 MiB

Quantile statistics

Minimum	1.3253761 × 10⁹
5-th percentile	1.3286996 × 10⁹
Q1	1.3387632 × 10⁹
median	1.3492668 × 10⁹
Q3	1.3594863 × 10⁹
95-th percentile	1.3698414 × 10⁹
Maximum	1.3718168 × 10⁹
Range	46440765
Interquartile range (IQR)	20723125

Descriptive statistics

Standard deviation	12844910
Coefficient of variation (CV)	0.0095199102
Kurtosis	-1.0883381
Mean	1.3492679 × 10⁹
Median Absolute Deviation (MAD)	10386412
Skewness	0.0022487089
Sum	5.2486927 × 10¹⁴
Variance	1.649917 × 10¹⁴
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1342848987	3	< 0.1%
1348375471	3	< 0.1%
1339879107	3	< 0.1%
1347630495	3	< 0.1%
1344278185	3	< 0.1%
1344083264	3	< 0.1%
1331300462	2	< 0.1%
1349529879	2	< 0.1%
1337965573	2	< 0.1%
1333834607	2	< 0.1%
Other values (386991)	388977	> 99.9%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1325376051	1	< 0.1%
1325376282	1	< 0.1%
1325376308	1	< 0.1%
1325376383	1	< 0.1%
1325376416	1	< 0.1%
1325376543	1	< 0.1%
1325376788	1	< 0.1%
1325376877	1	< 0.1%
1325377060	1	< 0.1%
1325377356	1	< 0.1%

Value	Count	Frequency (%)
1371816816	1	< 0.1%
1371816683	1	< 0.1%
1371816512	1	< 0.1%
1371816488	1	< 0.1%
1371816474	1	< 0.1%
1371816383	1	< 0.1%
1371816372	1	< 0.1%
1371816179	1	< 0.1%
1371815931	1	< 0.1%
1371815849	1	< 0.1%

merch_lat
Real number (ℝ)

Distinct	384428
Distinct (%)	98.8%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	38.546535

Minimum	19.027785
Maximum	67.510267
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	14.0 MiB

Quantile statistics

Minimum	19.027785
5-th percentile	29.73821
Q1	34.733977
median	39.383177
Q3	41.967087
95-th percentile	46.032372
Maximum	67.510267
Range	48.482482
Interquartile range (IQR)	7.23311

Descriptive statistics

Standard deviation	5.1194179
Coefficient of variation (CV)	0.13281136
Kurtosis	0.80996415
Mean	38.546535
Median Absolute Deviation (MAD)	3.393313
Skewness	-0.18271084
Sum	14994718
Variance	26.20844
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
39.674306	3	< 0.1%
43.335386	3	< 0.1%
35.465297	3	< 0.1%
38.745859	3	< 0.1%
41.270604	3	< 0.1%
40.822878	3	< 0.1%
39.467059	3	< 0.1%
41.271468	3	< 0.1%
39.866419	3	< 0.1%
40.534977	3	< 0.1%
Other values (384418)	388973	> 99.9%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
19.027785	1	< 0.1%
19.033288	1	< 0.1%
19.034282	1	< 0.1%
19.034687	1	< 0.1%
19.036312	1	< 0.1%
19.03922	1	< 0.1%
19.04188	1	< 0.1%
19.048001	1	< 0.1%
19.052896	1	< 0.1%
19.054697	1	< 0.1%

Value	Count	Frequency (%)
67.510267	1	< 0.1%
67.397018	1	< 0.1%
67.064277	1	< 0.1%
66.835174	1	< 0.1%
66.65822	1	< 0.1%
66.653465	1	< 0.1%
66.645176	1	< 0.1%
66.624674	1	< 0.1%
66.609969	1	< 0.1%
66.598747	1	< 0.1%

merch_long
Real number (ℝ)

Distinct	387072
Distinct (%)	99.5%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	-90.21776

Minimum	-166.67013
Maximum	-66.955996
Zeros	0
Zeros (%)	0.0%
Negative	389003
Negative (%)	100.0%
Memory size	14.0 MiB

Quantile statistics

Minimum	-166.67013
5-th percentile	-119.30529
Q1	-96.896077
median	-87.443539
Q3	-80.216844
95-th percentile	-73.337194
Maximum	-66.955996
Range	99.714136
Interquartile range (IQR)	16.679233

Descriptive statistics

Standard deviation	13.779253
Coefficient of variation (CV)	-0.15273326
Kurtosis	1.8717293
Mean	-90.21776
Median Absolute Deviation (MAD)	8.243111
Skewness	-1.1508036
Sum	-35094979
Variance	189.86781
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
-95.815432	3	< 0.1%
-92.175166	3	< 0.1%
-72.721662	3	< 0.1%
-82.00945	3	< 0.1%
-81.440297	3	< 0.1%
-83.06618	3	< 0.1%
-89.564406	3	< 0.1%
-87.247803	2	< 0.1%
-90.10778	2	< 0.1%
-97.653063	2	< 0.1%
Other values (387062)	388976	> 99.9%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
-166.670132	1	< 0.1%
-166.669638	1	< 0.1%
-166.659277	1	< 0.1%
-166.657174	1	< 0.1%
-166.656219	1	< 0.1%
-166.649771	1	< 0.1%
-166.64352	1	< 0.1%
-166.642151	1	< 0.1%
-166.63998	1	< 0.1%
-166.629875	1	< 0.1%

Value	Count	Frequency (%)
-66.955996	1	< 0.1%
-66.958751	1	< 0.1%
-66.961923	1	< 0.1%
-66.963975	1	< 0.1%
-66.967742	1	< 0.1%
-66.970769	1	< 0.1%
-66.979887	1	< 0.1%
-66.983261	1	< 0.1%
-66.983329	1	< 0.1%
-66.984433	1	< 0.1%

is_fraud
Categorical

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	14.0 MiB

0	386751
1	2252

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	389003
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	386751	99.4%
1	2252	0.6%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	386751	99.4%
1	2252	0.6%

Most occurring characters

Value	Count	Frequency (%)
0	386751	99.4%
1	2252	0.6%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	389003	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	386751	99.4%
1	2252	0.6%

Most occurring scripts

Value	Count	Frequency (%)
Common	389003	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	386751	99.4%
1	2252	0.6%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	389003	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	386751	99.4%
1	2252	0.6%

Heatmap
Table

	cc_num	amt	zip	lat	long	city_pop	unix_time	merch_lat	merch_long	category	gender	state	is_fraud
cc_num	1.000	-0.002	0.017	-0.007	-0.017	0.050	0.003	-0.007	-0.016	0.065	0.999	0.999	0.315
amt	-0.002	1.000	0.001	0.013	0.000	-0.025	0.001	0.013	0.000	0.021	0.000	0.000	0.000
zip	0.017	0.001	1.000	-0.162	-0.959	-0.042	0.001	-0.161	-0.957	0.065	0.990	0.999	0.311
lat	-0.007	0.013	-0.162	1.000	0.105	-0.266	0.003	0.991	0.103	0.011	0.101	0.799	0.011
long	-0.017	0.000	-0.959	0.105	1.000	0.089	-0.003	0.105	0.998	0.008	0.090	0.922	0.005
city_pop	0.050	-0.025	-0.042	-0.266	0.089	1.000	-0.003	-0.265	0.088	0.013	0.090	0.314	0.006
unix_time	0.003	0.001	0.001	0.003	-0.003	-0.003	1.000	0.003	-0.003	0.000	0.000	0.003	0.017
merch_lat	-0.007	0.013	-0.161	0.991	0.105	-0.265	0.003	1.000	0.103	0.011	0.103	0.813	0.010
merch_long	-0.016	0.000	-0.957	0.103	0.998	0.088	-0.003	0.103	1.000	0.009	0.081	0.885	0.005
category	0.065	0.021	0.065	0.011	0.008	0.013	0.000	0.011	0.009	1.000	0.052	0.019	0.069
gender	0.999	0.000	0.990	0.101	0.090	0.090	0.000	0.103	0.081	0.052	1.000	0.257	0.005
state	0.999	0.000	0.999	0.799	0.922	0.314	0.003	0.813	0.885	0.019	0.257	1.000	0.014
is_fraud	0.315	0.000	0.311	0.011	0.005	0.006	0.017	0.010	0.005	0.069	0.005	0.014	1.000

Heatmap
Table

	amt	lat	long	city_pop	unix_time	merch_lat	merch_long	is_fraud
amt	1.000	-0.001	-0.000	0.005	0.001	-0.001	-0.000	0.207
lat	-0.001	1.000	-0.016	-0.155	0.003	0.994	-0.016	0.002
long	-0.000	-0.016	1.000	-0.052	-0.003	-0.015	0.999	0.003
city_pop	0.005	-0.155	-0.052	1.000	-0.001	-0.154	-0.052	0.002
unix_time	0.001	0.003	-0.003	-0.001	1.000	0.003	-0.003	-0.005
merch_lat	-0.001	0.994	-0.015	-0.154	0.003	1.000	-0.015	0.002
merch_long	-0.000	-0.016	0.999	-0.052	-0.003	-0.015	1.000	0.003
is_fraud	0.207	0.002	0.003	0.002	-0.005	0.002	0.003	1.000

Heatmap
Table

	amt	lat	long	city_pop	unix_time	merch_lat	merch_long	is_fraud
amt	1.000	0.013	0.000	-0.025	0.001	0.013	0.000	0.087
lat	0.013	1.000	0.105	-0.266	0.003	0.991	0.103	0.002
long	0.000	0.105	1.000	0.089	-0.003	0.105	0.998	0.004
city_pop	-0.025	-0.266	0.089	1.000	-0.003	-0.265	0.088	0.003
unix_time	0.001	0.003	-0.003	-0.003	1.000	0.003	-0.003	-0.004
merch_lat	0.013	0.991	0.105	-0.265	0.003	1.000	0.103	0.001
merch_long	0.000	0.103	0.998	0.088	-0.003	0.103	1.000	0.004
is_fraud	0.087	0.002	0.004	0.003	-0.004	0.001	0.004	1.000

Heatmap
Table

	amt	lat	long	city_pop	unix_time	merch_lat	merch_long	is_fraud
amt	1.000	0.009	0.000	-0.017	0.001	0.009	0.000	0.071
lat	0.009	1.000	0.085	-0.178	0.002	0.920	0.083	0.001
long	0.000	0.085	1.000	0.062	-0.002	0.084	0.966	0.004
city_pop	-0.017	-0.178	0.062	1.000	-0.002	-0.177	0.061	0.002
unix_time	0.001	0.002	-0.002	-0.002	1.000	0.002	-0.002	-0.003
merch_lat	0.009	0.920	0.084	-0.177	0.002	1.000	0.082	0.001
merch_long	0.000	0.083	0.966	0.061	-0.002	0.082	1.000	0.003
is_fraud	0.071	0.001	0.004	0.002	-0.003	0.001	0.003	1.000

Heatmap
Table

	cc_num	category	amt	gender	state	zip	lat	long	city_pop	unix_time	merch_lat	merch_long	is_fraud
cc_num	1.000	0.016	0.000	0.031	0.439	0.145	0.257	0.190	0.082	0.000	0.188	0.175	0.002
category	0.016	1.000	0.047	0.067	0.067	0.027	0.024	0.019	0.030	0.000	0.024	0.019	0.088
amt	0.000	0.047	1.000	0.000	0.000	0.000	0.007	0.000	0.000	0.000	0.000	0.000	0.000
gender	0.031	0.067	0.000	1.000	0.323	0.159	0.135	0.109	0.120	0.000	0.137	0.108	0.007
state	0.439	0.067	0.000	0.323	1.000	1.000	0.965	0.990	0.657	0.010	0.969	0.985	0.018
zip	0.145	0.027	0.000	0.159	1.000	1.000	0.679	0.853	0.271	0.003	0.674	0.845	0.001
lat	0.257	0.024	0.007	0.135	0.965	0.679	1.000	0.884	0.296	0.007	0.992	0.865	0.015
long	0.190	0.019	0.000	0.109	0.990	0.853	0.884	1.000	0.317	0.002	0.912	0.996	0.008
city_pop	0.082	0.030	0.000	0.120	0.657	0.271	0.296	0.317	1.000	0.007	0.270	0.332	0.008
unix_time	0.000	0.000	0.000	0.000	0.010	0.003	0.007	0.002	0.007	1.000	0.007	0.004	0.022
merch_lat	0.188	0.024	0.000	0.137	0.969	0.674	0.992	0.912	0.270	0.007	1.000	0.895	0.014
merch_long	0.175	0.019	0.000	0.108	0.985	0.845	0.865	0.996	0.332	0.004	0.895	1.000	0.006
is_fraud	0.002	0.088	0.000	0.007	0.018	0.001	0.015	0.008	0.008	0.022	0.014	0.006	1.000

Heatmap
Table

	state	is_fraud	gender	category
state	1.000	0.014	0.257	0.019
is_fraud	0.014	1.000	0.005	0.069
gender	0.257	0.005	1.000	0.052
category	0.019	0.069	0.052	1.000

Count
Matrix

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

First rows
Last rows

	trans_date_trans_time	cc_num	merchant	category	amt	first	last	gender	street	city	state	zip	lat	long	city_pop	job	dob	trans_num	unix_time	merch_lat	merch_long
468195	2019-07-25 16:20:35	4587657402165341815	fraud_Hills-Witting	shopping_net	265.89	Amber	Lewis	F	6296 John Keys Suite 858	Pembroke Township	IL	60958	41.0646	-87.5917	2135	Psychotherapist, child	2004-05-08	d0e8265dc7e7b979c1533abebe95402c	1343233235	40.991185	-88.538586
694039	2019-10-23 04:47:17	347612609554823	fraud_Kling Inc	gas_transport	68.21	Robert	James	M	18316 Cannon Place	Newport	ME	4953	44.8393	-69.2675	3228	Lexicographer	1995-12-28	71a947bf4d90e76e4d5b9a5f1b1ec8b4	1350967637	44.680256	-69.390510
1092424	2020-03-30 09:50:38	6011652924285713	fraud_DuBuque LLC	grocery_pos	95.39	Kathryn	Smith	F	19838 Tonya Prairie Apt. 947	Rocky Mount	MO	65072	38.2911	-92.7059	1847	Tax inspector	1988-10-26	dfda32052a68f1452b1190b182672cb0	1364637038	38.954895	-91.927764
47679	2019-01-28 22:32:55	4839615922685395	fraud_Grimes LLC	entertainment	21.39	Phillip	Robertson	M	85344 Smith Gateway Apt. 280	Harrodsburg	IN	47434	39.0130	-86.5457	76	Social researcher	1955-05-06	8858dbc699716a100343e8402c3d2d17	1327789975	39.440657	-85.829947
226502	2019-04-24 15:36:30	4989847570577635369	fraud_Ullrich Ltd	kids_pets	36.53	Vanessa	Anderson	F	21178 Brittney Locks	Prosperity	SC	29127	34.1832	-81.5324	8333	Archaeologist	1994-07-09	b73f49b5c7081b864f1ba77678d86fce	1335281790	34.267058	-80.615114
610017	2019-09-16 03:13:48	4939976756738216	fraud_Rodriguez, Yost and Jenkins	misc_net	259.30	Michelle	Johnston	F	3531 Hamilton Highway	Roma	TX	78584	26.4215	-99.0025	18128	IT trainer	1990-11-07	f0dccb373dbb52f87993b587cdac5338	1347765228	27.403295	-99.484687
1161197	2020-04-28 23:06:17	4334230547694630	fraud_Padberg-Sauer	home	25.58	Scott	Martin	M	7483 Navarro Flats	Freedom	WY	83120	43.0172	-111.0292	471	Education officer, museum	1967-08-02	4f7096fc7703ec9af052a743a2f6e2f4	1367190377	43.862172	-110.363955
174936	2019-04-01 14:28:52	30074693890476	fraud_Stiedemann Ltd	food_dining	64.68	Kelsey	Richards	F	889 Sarah Station Suite 624	Holcomb	KS	67851	37.9931	-100.9893	2691	Arboriculturist	1993-08-16	570a1cba31bb2b0f2421740a8b599f6b	1333290532	38.967083	-100.174342
1054838	2020-03-13 23:32:59	630423337322	fraud_Jacobi and Sons	shopping_pos	7.20	Stephanie	Gill	F	43039 Riley Greens Suite 393	Orient	WA	99160	48.8878	-118.2105	149	Special educational needs teacher	1978-06-21	09e9b830ca58e5c71a23748a3d05f869	1363217579	48.743502	-118.917042
255480	2019-05-06 23:45:27	30143535920989	fraud_Kuhn Group	food_dining	12.49	Lisa	Collins	F	44197 Jeffrey Port Suite 050	Bridgeport	NJ	8014	39.8016	-75.3478	504	Engineer, control and instrumentation	1980-08-17	12cfa522315fd07b4fcf44dd752203f4	1336347927	39.041952	-76.224140

	trans_date_trans_time	cc_num	merchant	category	amt	first	last	gender	street	city	state	zip	lat	long	city_pop	job	dob	trans_num	unix_time	merch_lat	merch_long	is_fraud
558028	2019-08-25 23:40:51	4128027264554082	fraud_Schmitt Ltd	misc_net	851.68	Kyle	Park	M	7507 Larry Passage Suite 859	Mount Perry	OH	43760	39.8788	-82.1880	1831	Barrister's clerk	1953-10-18	1737ee3f0ef76a932163fb04546137a2	1345938051	40.151813	-81.664476	1
1010261	2020-02-20 05:52:45	2233882705243596	fraud_Bauch-Raynor	grocery_pos	344.93	Jamie	Robinson	F	67089 Caitlin Meadow Apt. 905	Sturgis	MS	39769	33.3570	-89.0473	1923	Medical physicist	1960-01-16	dac481866f20ffe19b1725cd2275c7be	1361339565	33.339171	-88.613480	1
928889	2020-01-03 23:52:39	4756039869079882102	fraud_Block-Parisian	misc_net	757.90	Francisco	Hernandez	M	980 Smith Gardens	Gainesville	TX	76240	33.6547	-97.1583	26120	Engineer, manufacturing	1954-01-06	043e396418a61a663559a4f65e99de74	1357257159	33.937975	-96.382509	1
1101557	2020-04-03 10:59:44	345832460465610	fraud_Robel, Cummerata and Prosacco	gas_transport	9.11	Jason	Mcmahon	M	6385 Donald Square Suite 429	Springfield	VA	22151	38.8029	-77.2116	104396	Production engineer	1950-11-20	b991672c504a79471a46d05f02ca4109	1364986784	38.454841	-78.157858	1
570534	2019-08-30 23:32:57	30596478689301	fraud_Kassulke PLC	shopping_net	967.49	Daniel	Graham	M	28223 Ward Summit Apt. 664	Arvada	CO	80005	39.8422	-105.1097	122111	Hotel manager	1987-05-23	9458505d34c58daa2893a825ce9aec3c	1346369577	39.262510	-105.656175	1
567879	2019-08-29 22:07:20	3526826139003047	fraud_Block-Parisian	misc_net	853.27	Nathan	Massey	M	5783 Evan Roads Apt. 465	Falmouth	MI	49632	44.2529	-85.0170	1126	Furniture designer	1955-07-06	91b28f3102c9055893488d23afde134e	1346278040	43.357421	-85.089403	1
1000983	2020-02-15 02:30:12	30235438713303	fraud_Durgan-Auer	misc_net	750.98	James	Baldwin	M	3603 Mitchell Court	Winfield	WV	25213	38.5072	-81.8900	5512	Exhibition designer	1980-03-24	e21fba3f053af7ea0bd31dfed1ddf2e4	1360895412	37.557927	-81.170028	1
588497	2019-09-07 04:27:01	377264520876399	fraud_Schoen, Kuphal and Nitzsche	grocery_pos	309.71	Kara	Miles	F	2076 Thomas Roads Suite 970	Cassatt	SC	29032	34.3424	-80.5000	4424	Lawyer	1961-07-31	0cdec150cbb24a0e689a11001e9f0b15	1346992021	34.178315	-79.758965	1
1233466	2020-05-30 02:45:14	6011681934117244	fraud_Koepp-Parker	grocery_pos	328.28	Kaitlyn	Newman	F	098 Stewart Hill	Slayden	TN	37165	36.2835	-87.4581	70	Prison officer	1956-06-22	c8a8ae7f2d176c8235b20babb0ee8b80	1369881914	36.153313	-86.646337	1
1046846	2020-03-10 01:28:30	3589289942931264	fraud_Marks Inc	gas_transport	7.61	Paula	Estrada	F	350 Stacy Glens	Spencer	SD	57374	43.7557	-97.5936	343	Development worker, international aid	1972-03-05	2cbedfecdb3594a19c965e57b1b885c0	1362878910	43.356988	-96.770897	1

Overview

Variables

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Uppercase Letter

Other Punctuation

Space Separator

Connector Punctuation

Dash Punctuation

Most occurring scripts

Most frequent character per script

Latin

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Connector Punctuation

Most occurring scripts

Most frequent character per script

Latin

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Uppercase Letter

Most occurring scripts

Most frequent character per script

Latin

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Uppercase Letter

Most occurring scripts

Most frequent character per script

Latin

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

Uppercase Letter

Most occurring scripts

Most frequent character per script

Latin

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Uppercase Letter